126 to 150 of 462 Databricks Jobs

closely with the data science team to integrate modelling approaches and techniques Key Skills and Experience: Previous experience as a DevOps/MLOps engineer Experience in Azure ML or databricks, or similar industry approved technology stack (i.e. AWS, Kubernetes and Docker, Google Cloud) Understanding of machine learning models and the modelling process, from data ingestion and cleaning to deployment and More ❯

closely with the data science team to integrate modelling approaches and techniques Key Skills and Experience: Previous experience as a DevOps/MLOps engineer Experience in Azure ML or databricks, or similar industry approved technology stack (i.e. AWS, Kubernetes and Docker, Google Cloud) Understanding of machine learning models and the modelling process, from data ingestion and cleaning to deployment and More ❯

in SQL Server, Azure Cosmos DB and Apache Spark. Communication: Strong communication and organisational skills. Advantageous Skills The following skills and experiences are considered strong advantageous: Experience in Azure Databricks is a strong advantage. Experience in Azure Data Factory is a strong advantage. Experience in .NET and Entity Framework is a strong advantage. Experience in Python is a strong advantage. More ❯

Azure Data Explorer . • Experience working with data in a variety of structured and unstructured formats. • Experience with data visualization tools, computing platforms, and applications such as: Juptyer, Elasticsearch, DataBricks, Apache Zeppelin, Kibana, and/or Tableau • Experience supporting the development of AI/ML algorithms, such as natural language processing in a production environment • Experience configuring and utilizing data More ❯

processes. Proficient in SQL scripting, writing complex queries, and test script development. Experience with structured and unstructured data testing. Hands-on knowledge of Azure data services like Data Factory, Databricks, Synapse, Cosmos DB, and Data Lake. Familiarity with data testing automation tools and frameworks. Domain knowledge in Insurance is a plus. Skilled in Python and PySpark for scripting and automation. More ❯

code that scales Excellent communication skills and a team-player attitude Great if you also have Experience with Kubernetes Experience with Google Cloud Platform Experience with Snowflake, Big Query, Databricks and DataProc Knowledge of columnar databases and file formats like Apache Parquet Knowledge of "Big Data" technologies like Delta Lake Experience with workflow management solutions like Apache Airflow Affinity for More ❯

identify risks, without prompting Proficient at communicating results in a concise manner both verbally and written Desirable Hands-on experience in the cloud platform and tools (i.e. Azure, AWS, Databricks) Insurance or financial services experience Knowledge and awareness of the latest tools, techniques and technology across the analytics marketplace Behaviours: Team player Self-motivated with a drive to learn and More ❯

identify risks, without prompting Proficient at communicating results in a concise manner both verbally and written Desirable Hands-on experience in the cloud platform and tools (i.e. Azure, AWS, Databricks) Insurance or financial services experience Knowledge and awareness of the latest tools, techniques and technology across the analytics marketplace Behaviours: Team player Self-motivated with a drive to learn and More ❯

passion for new technologies Experience in startups or top-tier consultancies is a plus Nice to Have: Familiarity with dashboarding tools, Typescript, and API development Exposure to Airflow, DBT, Databricks Experience with ERP (e.g. SAP, Oracle) and CRM systems What's On Offer: Salary: £50,000-£75,000 + share options Hybrid working: 2-3 days per week in a More ❯

passion for new technologies Experience in startups or top-tier consultancies is a plus Nice to Have: Familiarity with dashboarding tools, Typescript, and API development Exposure to Airflow, DBT, Databricks Experience with ERP (e.g. SAP, Oracle) and CRM systems What's On Offer: Salary: £50,000-£75,000 + share options Hybrid working: 2-3 days per week in a More ❯

projects involving data transformation and loading into Databricks. Strong understanding of data pipeline architectures and best practices. Proficiency in programming languages such as Python, SQL, or Scala. Experience with Databricks and related tools and technologies. Excellent problem-solving and analytical skills. Strong communication and collaboration abilities. Preferred Skills: Experience with cloud-based data platforms (e.g., AWS, Azure, Google Cloud). More ❯

to complex work Subject matter expertise in 3-5 of the following: Regression, Classification, Machine Vision, Natural Language Processing, Deep Learning and Statistical modeling. Expertise with python/R, Databricks, SQL. Experience working in a cross-functional and/or enterprise roles. Experience working with financial linkage models and Bayesian models is a plus. Familiarity with customer experience domain and More ❯

engineers and scientists working across Africa, Europe, the UK and the US. ABOUT THE ROLE Sand Technologies focuses on cutting-edge cloud-based data projects, leveraging tools such as Databricks, DBT, Docker, Python, SQL, and PySpark to name a few. We work across a variety of data architectures such as Data Mesh, lakehouse, data vault and data warehouses. Our data … RESPONSIBILITIES Data Pipeline Development: Lead the design, implement, and maintain scalable data pipelines for ingesting, processing, and transforming large volumes of data from various sources using tools such as databricks, python and pyspark. Data Architecture: Architect scalable and efficient data solutions using the appropriate architecture design, opting for modern architectures where possible. Data Modeling: Design and optimize data models and … or SQL for data manipulation and scripting. Strong understanding of data modelling concepts and techniques, including relational and dimensional modelling. Experience in big data technologies and frameworks such as Databricks, Spark, Kafka, and Flink. Experience in using modern data architectures, such as lakehouse. Experience with CI/CD pipelines, version control systems like Git, and containerization (e.g., Docker). Experience More ❯

data visualisation skills (any tool – the team use Power BI). A track record of turning data into insight — your CV should show clear, tangible examples. Bonus points for: Databricks and/or Python experience (these will make you stand out). A background in finance or retail . If you love digging into data, working with commercial teams, and More ❯

data visualisation skills (any tool – the team use Power BI). A track record of turning data into insight — your CV should show clear, tangible examples. Bonus points for: Databricks and/or Python experience (these will make you stand out). A background in finance or retail . If you love digging into data, working with commercial teams, and More ❯

data visualisation skills (any tool – the team use Power BI). A track record of turning data into insight — your CV should show clear, tangible examples. Bonus points for: Databricks and/or Python experience (these will make you stand out). A background in finance or retail . If you love digging into data, working with commercial teams, and More ❯

multiple teams. This role falls outside IR35 and will require some travel to client sites. The chosen candidate will have experience in AWS, Azure and a strong knowledge of Databricks (ideally with some fabric exposure too). Key Responsibilities Lead the design and optimisation of scalable data architectures across cloud platforms. Drive the development of high-performance data pipelines and More ❯

Strong proficiency in SQL scripting, including writing and executing complex queries. Hands-on experience with structured and unstructured data testing. Good understanding of Azure data services , including Data Factory, Databricks, Synapse (Azure SQL DW), Cosmos DB, and Azure Data Lake. Knowledge of data testing concepts and best practices within data warehouse environments. Hands-on experience with Python/PySpark scripting More ❯

scikit-learn, PyTorch, TensorFlow, and XGBoost. Design robust data pipelines using tools like Spark and Kafka for real-time and batch processing. Manage ML lifecycle with tools such as Databricks , MLflow , and cloud-native platforms (Azure preferred). Collaborate with engineering teams to ensure scalable, secure ML infrastructure aligned with compliance standards (e.g., ISO27001). Ensure data governance, particularly around More ❯

scikit-learn, PyTorch, TensorFlow, and XGBoost. Design robust data pipelines using tools like Spark and Kafka for real-time and batch processing. Manage ML lifecycle with tools such as Databricks , MLflow , and cloud-native platforms (Azure preferred). Collaborate with engineering teams to ensure scalable, secure ML infrastructure aligned with compliance standards (e.g., ISO27001). Ensure data governance, particularly around More ❯

meet client needs using advanced analytics tools. Collaborate closely with clients to guide AI solutions from concept to full-scale deployment. Utilize big data tools and platforms, such as Databricks, to create scalable and efficient AI-driven solutions. What You'll Bring: Active TS/SCI security clearance and the ability to work from a SCIF. Based in Washington DC More ❯

including 4+ years in pre-sales/solutioning. Banking transformation expertise (regulatory reporting, finance/data modernisation). Strong cloud/data architecture skills (Azure/AWS/GCP, Databricks, Snowflake, Synapse). Data governance expertise and RFP/RFI leadership. Why apply? Senior, strategic role with real influence. Opportunity to lead major banking transformation initiatives. Excellent package and hybrid More ❯

including 4+ years in pre-sales/solutioning. Banking transformation expertise (regulatory reporting, finance/data modernisation). Strong cloud/data architecture skills (Azure/AWS/GCP, Databricks, Snowflake, Synapse). Data governance expertise and RFP/RFI leadership. Why apply? Senior, strategic role with real influence. Opportunity to lead major banking transformation initiatives. Excellent package and hybrid More ❯

GCP/BigQuery (or similar cloud platforms). Education: Degree in Investments, Accounting, Actuarial Science, or related discipline from a UK university. Nice to Have Experience with dbt or Databricks . Background in life insurance, reinsurance, or large-scale investment projects. Interview Process Stage 1: Initial 20-30 min screening call (CV and experience overview). Stage 2: 1-hour More ❯

warehouses). Desirable Awareness of cloud-based platforms (eg, Azure) and their implications for data and application strategy. Familiarity with data warehousing solutions or modern analytics stacks (eg, Snowflake, Databricks). Understanding of information security best practices and regulatory frameworks (eg, GDPR, ISO 27001). Knowledge of ITIL practices or service management frameworks. Your Experience We are looking for someone More ❯